Brian Vaillant

2.6k citations
21 papers · 877 · h-index 12

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • Glioma Diagnosis and Treatment 11
    • Ion channel regulation and function 2
    • Protist diversity and phylogeny 2

Brian Vaillant

20 papers receiving 868 citations

Peers

Brian Vaillant
Comparison fields: 5 of 79
  • Genetics 229
  • Cell Biology 187
  • Cancer Research 152
  • Molecular Biology 429
  • Hepatology 45
Replace Serge Carillo with:
Serge Carillo France
Daniel Maier Switzerland
Michael R. Dores United States
Matthew J. Hayes United Kingdom
May M. Paing United States
Stefan Tomiuk Germany
Karen E. Hedin United States
Sanja Pajovic Canada
Shannon P. Fortin Ensign United States
Cole Ferguson United States
Brian Vaillant relative to Serge Carillo France Serge Carillo's profile →
Citations per field
00.5×
Serge Carillo · 1×
Citations per year

Countries citing papers authored by Brian Vaillant

Since Specialization
Citations

This map shows the geographic impact of Brian Vaillant's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian Vaillant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Vaillant more than expected).

Fields of papers citing papers by Brian Vaillant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Vaillant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian Vaillant. The network helps show where Brian Vaillant may publish in the future.

Co-authors

The 25 scholars most cited alongside Brian Vaillant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian Vaillant Line = papers co-authored together Brian Vaillant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011300
2 2001112
3 201298
4 199583
5 201263
6 199755
7 199834
8 201330
9 201327
10 201524
11 199814
12 200911
13 20119
14 20095
15 20234
16 20243
17 20132
18 20251
19 20211
20 20121

About Brian Vaillant

Brian Vaillant is a scholar working on Genetics, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 21 papers that have together received 877 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Brain Metastases and Treatment (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Cancer Mechanisms and Therapy (2 papers), Ion channel regulation and function (2 papers), Protist diversity and phylogeny (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Genetics (229 citations), Cell Biology (187 citations), Cancer Research (152 citations), Molecular Biology (429 citations) and Hepatology (45 citations). Brian Vaillant has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Ching Kung, Howard Colman, Stephen H. Loukin, Yoshiro Saimi, Thomas A. Wynn, Paul D. Soloway, Mónica G. Chiaramonte, Allen W. Cheever, Khalida Wani and Erik P. Sulman. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Current Treatment Options in Neurology, Neurology and Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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